Zhuo Qu, Wenlin Dai, Carolina Euan, Ying Sun, and Marc G. Genton, "Exploratory functional data analysis", Accepted by TEST.
Zhuo Qu, Wenlin Dai and Marc G. Genton, "Global depths for irregularly observed multivariate functional data". Under review.
Maoyu Zhang#, Yan Song# and Wenlin Dai (2023), "Fast robust location and scatter estimation: a depth-based method". Accepted by Technometrics.
Zhuo Qu, Wenlin Dai and Marc G. Genton (2023), "Robust two-layer partition clustering of sparse multivariate functional data ". Accepted by Econometrics and Statistics.
Wenlin Dai, Stavros Athanasiadis and Tomas Mrkvicka, "A new functional clustering method with combined dissimilarity sources and graphical interpretation". Computational Statistics and Applications. IntechOpen
Zhuo Qu, Wenlin Dai, and Marc G. Genton (2021), “Robust functional multivariate analysis of variance with environmental applications”. Environmetrics, e2641.
Zonghui Yao, Wenlin Dai, Marc G. Genton (2020), “Trajectory functional boxplots”. Stat, e289.
Wenlin Dai, Tomas Mrkvicka, Ying Sun and Marc G. Genton (2020), “Functional outlier detection and taxonomy by sequential transformations”. Computational Statistics & Data Analysis, 106960.
Wenlin Dai and Marc G. Genton (2019), "Directional outlyingness for multivariate functional data". Computational Statistics & Data Analysis, 131:50-65.
Wenlin Dai and Marc G. Genton (2018), "Functional boxplot for multivariate curves". Stat, 7:e190.
Wenlin Dai and Marc G. Genton (2018), "Multivariate functional data visualization and outlier detection". Journal of Computational and Graphical Statistics, 27: 923-934.
Wenlin Dai and Marc G. Genton (2018), "An outlyingness matrix for multivariate functional data classification". Statistica Sinica, 28: 2435-2454.
Maoyu Zhang# and Wenlin Dai (2023), "On difference-based gradient estimation in nonparametric regression". Accepted byStatistical Analysis and Data Mining.
Wenlin Dai, Xingwei Tong and Tiejun Tong, "Optimal-k difference sequence for variance estimation in nonparametric regression". Under review.
Yuejin Zhou, Yebin Cheng, Wenlin Dai and Tiejun Tong (2018), "Optimal difference-based estimation for partial linear models". Computational Statistics, 33: 863-885.
Wenlin Dai, Tiejun Tong and Lixing Zhu (2017), "On the choice of difference sequence in a unified framework for variance estimation in nonparametric regression". Statistical Science, 32: 455-468.
Wenlin Dai, Yuejin Zhou and Tiejun Tong (2017), "Testing discontinuities in nonparametric regression". Journal of Applied Statistics, 45: 450–473.
Wenlin Dai, Tiejun Tong and Marc G. Genton (2016), "Optimal estimation of derivatives in nonparametric regression". Journal of Machine Learning Research, 17: 1–25.
Wenlin Dai, Yanyuan Ma, Tiejun Tong and Lixing Zhu (2015), "Difference-based variance estimation in nonparametric regression with repeated measurement data". Journal of Statistical Planning and Inference, 163: 1–20.
Wenlin Dai and Tiejun Tong (2014), "Variance estimation in nonparametric regression with jump discontinuities". Journal of Applied Statistics, 41, 530–545.
Haosheng Shi# and Wenlin Dai (2025), "Exploratory analysis of dynamic networks using latent functions". Accepted by Statistics and Computing.
Haosheng Shi# and Wenlin Dai (2025), "A community Hawkes model for continuous-time networks with interaction heterogeneity", Accepted by Statistica Sinica.
Maoyu Zhang#, Linsui Deng# and Wenlin Dai (2025), "Multiplex depth for network-valued data and applications". Accepted by Journal of Computational and Graphical Statistics.
Maoyu Zhang#, Biao Cai, Wenlin Dai, Dehan Kong, Hongyu Zhao and Jingfei Zhang (2024), "Learning brain connectivity in social cognition with dynamic network regression". Annals of Applied Statistics, 18(4), 3405–3424.
Maoyu Zhang#, Jingfei Zhang and Wenlin Dai (2024), "Fast community detection in dynamic and heterogeneous networks". Journal of Computational and Graphical Statistics, 33: 487–500.
Wenlin Dai, Yan Song# and Dianpeng Wang (2023), "A subsampling method for regression problems based on minimum energy criterion ". Technometrics, 65:2, 192-205.
Yan Song# and Wenlin Dai (2022), "Deterministic subsampling for logistic regression with massive data". Accepted by Computational Statistics.
Yan Song#, Wenlin Dai and Marc G. Genton. "Large-scale low-rank Gaussian process prediction with support points". Accepted by Journal of the American Statistical Association.
Xuehu Zhu, Weixuan Yuan, Zongben Xu and Wenlin Dai. "Optimal subsampling for principal component analysis". Science China: Mathematics, in press.
Junhao Wu*, Binyin Li*, Jie Wang, Qi Huang, Xing Chen, Zhiwen You, Kun He, Qihao Guo, Songye Li, Yiyun Henry Huang, Tengfei Guo, Wenlin Dai, Weiwei Xiang, Weihuang Chen, Dake Yang, Jun Zhao, Yihui Guan**, Fang Xie (2024). "Plasma Glial Fibrillary Acid Protein and Phosphorated Tau 181 Association with Presynaptic Density-Dependent Tau Pathology at 18F-SynVesT-1 Brain PET Imaging". Radiology, 313,
Luqing Zhao, Xueying Du, Jiaxin Tian, Xiuhong Kang, Yuxin Li, Wenlin Dai, Danyan Li, Shengsheng Zhang, Chao Li. (2021), "Berberine-loaded Carboxylmethyl Chitosan Nanoparticles ameliorate DSS-induced colitis and remodel gut microbiota in mice". Frontiers in Pharmacology, section Gastrointestinal and Hepatic Pharmacology, 12, 644387, 2021.
Zongliang Hu, Kai Dong, Wenlin Dai and Tiejun Tong (2017), "A comparison of methods for estimating the determinant of high-dimensional covariance matrix". International Journal of Biostatistics, 13: 20170013.
Hiu Yee Kwan, Xuyan Niu, Wenlin Dai, Tiejun Tong, et al. (2015), "Lipidomic-based investigation into the regulatory effect of Schisandrin B on palmitic acid level in non-alcoholic steatotic livers". Scientific Reports, 5: 9114.
Tian Bai#, Dianpeng Wang, and Wenlin Dai (2022), "A modified SEIR model with a jump in the transmission parameter applied to COVID-19 data on Wuhan". Stat.
#: Supervised Student